Category: Graduate Students

PhD Candidate Daniel Byrne to Present Defense May 14

Graduate student Daniel Byrne, PhD in Computer Science, will present his final oral examination (defense) on May 14, 2024, a 9 am in Rekhi 214 and via Zoom online meeting. The title of Byrne’s defense is, “Model Guided Optimization for Key-Value Caches.” Byrne is advised by Department of Computer Science faculty members Zhenlin Wang and . . .

2024 Gateway Magazine is Online!

The College of Computing is pleased to announce that the 2024 Gateway magazine is now available online. From data science, health informatics, and mechatronics to cybersecurity, alumni entrepreneurs, and esports, the new Gateway magazine introduces the students, alumni, and faculty that make it all happen in the College of Computing and beyond.

Congratulations, Class of 2024!

The College of Computing is pleased to congratulate our Class of 2024 graduates! This spring’s candidates are below. The Graduate Student ceremony will be held Friday, April 26, 2024 at 3:00 p.m. The Undergraduate Student ceremony will be held Saturday, April 27, 2024 at 10:30 a.m. Both ceremonies take place in the MacInnes Student Ice . . .

PhD Student Harikrishnan Changarnkothapeecherikkal, CSE, Receives Outstanding Teaching Award

PhD student and instructor Harikrishnan Changarnkothapeecherikkal, Computational Science and Engineering (CSE), Department of Applied Computing, has received the Outstanding Graduate Student Teaching Award from Michigan Tech’s Graduate School. Changarnkothapeecherikkal’s teaching Interests include clinical decision support systems, health informatics fundamentals, deep learning and neural networks, and computer vision and image analysis.

PhD Student Abel Reyes-Angulo Awarded Grant from BCBS of Michigan Foundation

PhD student Abel Reyes-Angulo (Department of Applied Computing, College of Computing, and Computational Science and Engineering PhD program) has been awarded a $3,000, 12-month grant from the Blue Cross Blue Shield of Michigan Foundation for his research project, “Development of a parameter-efficient Deep Learning algorithm for medical image segmentation as an effort to mitigate the . . .